Data visualization three-dimensional visualizations

The visualization of large data sets has special requirements. A typical example area is multivariate image analysis, especially in remote sensing, but hyperspectral imaging is also moving into other fields. Another is three-dimensional visualization of weather systems. 

The variety of information conveyed by the different views in Figure 5.5 illustrates the need to visualize three-dimensional biopolymer structure data in unique ways that are not common to other three-dimensional graphics applications. This requirement often precludes the effective use of software from the macroscopic world, such as computer-aided design (CAD) or virtual reality modeling language (VRML) packages. 

With the added dimension of height, three-dimensional visualizations are better able to show quantitative relationships over a large dynamic range. However, in three-dimensional visualizations, points on the surface can be obscured, and there is no correspondence between the dimensions of the data and the axes of the display, so interactive operations such as point-and-click indexing are more difficult and problematic than with a two-dimensional image. In that sense, different visualizations are complementary, each with its own utilities. 

ILK. Momma, F. Izumi, VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data. J. Appl. Crystallogr. 44, 1272 (2011)... 

Data visualization is the process of displaying information in any sort of pictorial or graphic representation. A number of computer programs are available to apply a colorization scheme to data or to work with three-dimensional representations. In recent years, this functionality has been incorporated in many... 

Wave functions can be visualized as the total electron density, orbital densities, electrostatic potential, atomic densities, or the Laplacian of the electron density. The program computes the data from the basis functions and molecular orbital coefficients. Thus, it does not need a large amount of disk space to store data, but the computation can be time-consuming. Molden can also compute electrostatic charges from the wave function. Several visualization modes are available, including contour plots, three-dimensional isosurfaces, and data slices. 

The second graphical representation using MATLAB software is that of a three-dimensional surface plot (Table 75-3, Figure 75-4). This plot visually represents the three-dimensional data where the X and Y axes are spatial dimensions and the Z axis depicts absorbance. The MATLAB commands for this graphic are given in Table 75-3 where A represents the raster data matrix given in Table 75-1. 

Determination of three-dimensional protein structures has become an important tool in protein research, indicated by the exponentially growing number of protein data bank entries during the last decade. They have contributed considerably to our understanding of function and mechanism of biomolecules. Structures of proteins alone or in complex with their substrates or binding partners like cofactors, DNA, or other proteins can visualize interactions at the atom-... 

---